Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao World Developmentarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
World Development
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 1 versions
addClaim

Participatory Budgeting and the Poor: Tracing Bias in a Multi-Staged Process in Solo, Indonesia

Authors: Tara Grillos;

Participatory Budgeting and the Poor: Tracing Bias in a Multi-Staged Process in Solo, Indonesia

Abstract

Summary This paper examines a participatory budgeting process in the city of Surakarta (Solo), Indonesia. Using newly digitized records of the infrastructure spending results from three distinct phases of the process (proposal, prioritization, and implementation), I assess the degree to which the resulting geographical distribution of spending allocations targets the poor. I find a poverty-related bias in the distribution of infrastructure projects funded by the program. While results vary across neighborhoods, on average, sub-units with more poor people receive a smaller percentage of funding than would correspond to their share of the general population. Furthermore, although the implementation stage exhibits significant divergence from the decisions made during the more public proposal and prioritization processes, the small group of elected officials in charge of implementation are not to blame for the bias. I find no evidence that deviations from decisions made during public meetings are based on something other than legitimate technical considerations. Instead, the bias originates in the proposal stage, with the poorest sub-units less likely to submit proposals in the first place. I conclude that the literature would benefit from more studies that look at differences across stages of decision-making within a particular process. Whereas contextual differences across settings may be difficult to change over the short-run, identifying procedural differences and points of vulnerability across a single process can help to diagnose problems which have the potential to actually be resolved by policy-makers.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    67
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
67
Top 1%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!